Meal replacement reduces insulin requirement, HbA1c and weight long‐term in type 2 diabetes patients with >100 U insulin per day
Bibliographic record
Abstract
BACKGROUND: Despite high insulin doses, good glycaemic control is often lacking in type 2 diabetes patients and new therapeutic options are needed. METHODS: In a proof of principle study, an energy-restricted, protein-rich meal replacement (PRMR) was examined as a means of reducing insulin requirement, HbA1C and body weight. Obese type 2 diabetes patients (n = 22) with >100 U insulin per day replaced, in week 1, the three main meals with 50 g of PRMR (Almased-Vitalkost) each (= 4903 kJ day(-1) ). In weeks 2-4, breakfast and dinner were replaced, and, in weeks 5-12, only dinner was replaced. Clinical parameters were determined at baseline, and after 4, 8 and 12 weeks, as well as after 1.5 years of follow-up. The Wilcoxon signed-rank test was used for the intention-to-treat analysis and the Mann-Whitney U-test for subgroup analyses. RESULTS: The 12-week-programme was completed by 15 participants (68%). After 1 week, the mean insulin dose was reduced from 147 (75) U to 91 (55) U day(-1) (P = 0.0001), and to 65 (32) U (P < 0.0001) after 12 weeks of study. Over a period of 12 weeks, HbA1c decreased from 8.8% (1.4%) to 8.1% (1.6%) (P = 0.048) and weight decreased from 118.0 (19.7) kg to 107.4 (19.2) kg (P < 0.0001). Moreover, body mass index, waist and hip circumference, fasting blood glucose, triglycerides and high-density lipoprotein cholesterol improved significantly. After 1.5 years, insulin requirement and weight remained significantly lower than baseline. Participants who continued PRMR further reduced their HbA1c, weight and insulin dose. Two patients were able to stop insulin therapy altogether. CONCLUSIONS: Energy-restricted PRMR was effective in reducing insulin requirement of type 2 diabetes patients with intensified insulin therapy accompanied by a reduction of HbA1c, weight and other cardiometabolic risk factors. With the continuous use of PRMR, glycaemic control might be improved in the long term.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".